* indicates equal contribution.
Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick, and Aaron Ames. "Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification." Submitted to Artificial Intelligence Journal, Special Issue on Risk-aware Autonomous Systems: Theory and Practice, 2022.
Anushri Dixit, Mohamadreza Ahmadi, and Joel W. Burdick. "Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures." In Artificial Intelligence Journal, Special Issue on Risk-aware Autonomous Systems: Theory and Practice, 2023.
Skylar X. Wei*, Anushri Dixit*, Shashank Tomar, and Joel W. Burdick. "Moving Obstacle Avoidance: a Data-Driven Risk-Aware Approach." In IEEE Control System Letters, 2022 (Outstanding Student Paper Award at CDC 2022).
Anushri Dixit*, David D. Fan*, Kyohei Otsu, Sharmita Dey, Ali-Akbar Agha-Mohammadi, Joel W. Burdick. "STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge." In Field Robotics, 2023.
Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim et al. "Nebula: Quest for robotic autonomy in challenging environments; Team CoSTAR at the DARPA subterranean challenge." In Field Robotics, 2021.
Allen Z Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar. "Robots that ask for help: Uncertainty alignment for large language model planners." In Conference on Robot Learning (CoRL), 2023 (Best Student Paper Award).
Anushri Dixit*, Lars Lindemann*, Skylar Wei, Matthew Cleaveland, George J. Pappas, and Joel W. Burdick. "Adaptive Conformal Prediction for Motion Planning among Dynamic Agents." In Learning for Dynamics and Control (L4DC) Conference, 2023.
Sharmita Dey, David Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, and Ali-akbar Agha-mohammadi. "PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains." In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.